County-Level Sexually Transmitted Disease Detection and Control in Texas: Do Sexually Transmitted Diseases and Family Planning Clinics Matter?

Background: Sexually transmitted disease (STD) detection and control have traditionally been performed by STD and family planning (FP) clinics. However, the magnitude of their impact (or the lack thereof) has not been examined. We examine the association between having STD and/or FP clinics and county-level STD detection and control in the state of Texas. Methods: We used county-level STD (chlamydia, gonorrhea, and primary and secondary syphilis) morbidity data from the National Electronic Telecommunications System for Surveillance for 2000 and 2007. We applied spatial regression techniques to examine the impact of the presence of STD/FP clinic(s) (included as dichotomous variables) on STD detection (i.e., morbidity) and control. We included county-level demographic characteristics as control variables. Results: Our results indicated that counties with STD or FP clinics were associated with at least 8% (P < 0.05) increase in the transformed chlamydia and gonorrhea rates, 20% (P < 0.01) increase in transformed syphilis rates in 2000, and at least 6% (P < 0.05) increase in transformed gonorrhea and Chlamydia rates in 2007. From 2000 to 2007, the transformed incidence rates of chlamydia declined by 4% (P < 0.10), 8% (P < 0.01) for gonorrhea, and 8% (P < 0.05) for primary and secondary syphilis for the counties that had at least 1 STD or FP clinic. Conclusions: The results from this ecological study are associations and do not establish a causal relationship between having an STD/FP clinic and improved STD detection and control. Finer level analyses (such as census block or cities) may be able to provide more detail information.

[1]  王林,et al.  National Prevention Information Network数据库 , 2011 .

[2]  C. Rietmeijer,et al.  Why we should save our STD clinics. , 2010, Sexually transmitted diseases.

[3]  M. Golden,et al.  Improving clinical operations: can we and should we save our STD clinics? , 2010, Sexually transmitted diseases.

[4]  K. Owusu-Edusei,et al.  Using Spatial Regression Methods to Examine the Association Between County-Level Racial/Ethnic Composition and Reported Cases of Chlamydia and Gonorrhea: An Illustration With Data From the State of Texas , 2009, Sexually transmitted diseases.

[5]  K. Owusu-Edusei,et al.  Examining the impact of federally-funded syphilis elimination activities in the USA. , 2008, Social science & medicine.

[6]  M. Sternberg,et al.  Social capital and rates of gonorrhea and syphilis in the United States: spatial regression analyses of state-level associations. , 2007, Social science & medicine.

[7]  Catherine H Mercer,et al.  Vicious and virtuous circles in the dynamics of infectious disease and the provision of health care: gonorrhea in Britain as an example. , 2005, The Journal of infectious diseases.

[8]  B. Operskalski,et al.  Sexually Transmitted Diseases and Managed Care: An Inquiry and Review of Issues Affecting Service Delivery , 2004, American journal of medical quality : the official journal of the American College of Medical Quality.

[9]  J. Stoker,et al.  The Department of Health and Human Services. , 1999, Home healthcare nurse.

[10]  A. Kimball,et al.  The impact of health care market changes on local decision making and STD care: experience in three counties. , 1997, American journal of preventive medicine.

[11]  L. Breslow Public health and managed care: a California perspective. , 1996, Health affairs.

[12]  Kenneth A. Bollen,et al.  Regression Diagnostics , 1985 .

[13]  B H O'Connor,et al.  Sexually transmitted disease surveillance. , 1982, British medical journal.

[14]  Peter E. Kennedy,et al.  A Guide to Econometrics , 1980 .

[15]  W. Greene,et al.  计量经济分析 = Econometric analysis , 2009 .

[16]  Youngihn Kho,et al.  GeoDa: An Introduction to Spatial Data Analysis , 2006 .

[17]  P. Kilmarx,et al.  An Ecological Analysis , 2006 .

[18]  Impact of closure of a sexually transmitted disease clinic on public health surveillance of sexually transmitted diseases--Washington, D.C., 1995. , 1998, MMWR. Morbidity and mortality weekly report.

[19]  H. White Maximum Likelihood Estimation of Misspecified Models , 1982 .

[20]  P. J. Huber The behavior of maximum likelihood estimates under nonstandard conditions , 1967 .

[21]  K. Owusu-Edusei,et al.  International Journal of Health Geographics Open Access Monitoring County-level Chlamydia Incidence in Texas, 2004 – 2005: Application of Empirical Bayesian Smoothing and Exploratory Spatial Data Analysis (esda) Methods , 2022 .

[22]  David L. Lakey,et al.  Letter Health Consultation Texas Department of State Health Services , 2022 .